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Abstract

Over the past several years importance sampling in
conjunction with regenerative simulation has been presented
as a promising method for estimating reliability parameters
in highly reliable systems. Existing methods fail to
provide benefits over crude Monte Carlo for the analysis
of systems that contain significant component redundancies.
This paper presents refined importance sampling techniques
along with a generalized regenerative model. The proposed
methods have solid theoretical properties and work well
in practice.